Abstract
The condition of the latest version of the ELMy H-mode database has been re-examined. It is shown that there is bias in the ordinary least squares regression for some of the variables. To address these shortcomings three different techniques are employed: (a) principal component regression, (b) an error in variables technique and (c) the selection of a better conditioned dataset with fewer variables. Scalings in terms of the dimensionless physics variables, as well as the standard set of engineering variables, are also derived. The new scalings give a very similar performance for existing scalings for ITER at the standard βn of 1.6, but a much improved performance at higher βn.
| Original language | English |
|---|---|
| Pages (from-to) | 1078-1084 |
| Number of pages | 7 |
| Journal | Nuclear Fusion |
| Volume | 45 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 1 Sept 2005 |